@article{RSA_2006__54_3_33_0, author = {El Golli, A{\"\i}cha and Rossi, Fabrice and Conan-Guez, Brieuc and Lechevallier, Yves}, title = {Une adaptation des cartes auto-organisatrices pour des donn\'ees d\'ecrites par un tableau de dissimilarit\'es}, journal = {Revue de Statistique Appliqu\'ee}, pages = {33--64}, publisher = {Soci\'et\'e fran\c{c}aise de statistique}, volume = {54}, number = {3}, year = {2006}, language = {fr}, url = {http://www.numdam.org/item/RSA_2006__54_3_33_0/} }
TY - JOUR AU - El Golli, Aïcha AU - Rossi, Fabrice AU - Conan-Guez, Brieuc AU - Lechevallier, Yves TI - Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités JO - Revue de Statistique Appliquée PY - 2006 SP - 33 EP - 64 VL - 54 IS - 3 PB - Société française de statistique UR - http://www.numdam.org/item/RSA_2006__54_3_33_0/ LA - fr ID - RSA_2006__54_3_33_0 ER -
%0 Journal Article %A El Golli, Aïcha %A Rossi, Fabrice %A Conan-Guez, Brieuc %A Lechevallier, Yves %T Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités %J Revue de Statistique Appliquée %D 2006 %P 33-64 %V 54 %N 3 %I Société française de statistique %U http://www.numdam.org/item/RSA_2006__54_3_33_0/ %G fr %F RSA_2006__54_3_33_0
El Golli, Aïcha; Rossi, Fabrice; Conan-Guez, Brieuc; Lechevallier, Yves. Une adaptation des cartes auto-organisatrices pour des données décrites par un tableau de dissimilarités. Revue de Statistique Appliquée, Tome 54 (2006) no. 3, pp. 33-64. http://www.numdam.org/item/RSA_2006__54_3_33_0/
The affinity coefficient in cluster analysis. Methods of operations research, 53, 507-512. | Zbl
( 1985),Analysis of symbolic data : exploratory methods for extracting statistical information from complex data, H. H. Bock and E. Diday, Ch. Similarity and Dissimilarity, pp. 160-165. | MR | Zbl
( 2000),Uniform Resource Identifiers (URI) : Generic Syntax. RFC 2396, The Internet Society, http://www.ietf.org/rfc/rfc2396.txt.
, , (August 1998),Clustering algorithms and kohonen maps for symbolic data, in : Proc. of The International Conference on New Trends in Computational Statistics with Biomedical Applications (ICNCB).
( 2001),Analysis of symbolic Data, Exploratory methods for extracting statistical information from complex data, Springer. | MR | Zbl
, ( 1999),Classification automatique des données, Dunod informatique.
, , , , ( 1989),Trois nouvelles méthodes de classification automatique de données symboliques de type intervalle, Revue de Statistique Appliquées, 4, 5-29. | Numdam
, , , ( 2003),Dynamical clustering of interval data. Optimization of an adequacy criterion based on Hausdorff distance, in Jajuga K., Sokolowski A. et Bock H.H. (Eds.) : Classification, Clustering and Data Analysis, Springer, pp. 53-60. | MR | Zbl
, ( 2002),Convergence and ordering of Kohonen's batch map, Neural Computation, 9 (8), 1667-1676.
(November 1997),Fast algorithm and implementation of dissimilarity self-organizing maps, Neural Networks, 19 (6-7), 855-863. | Zbl
, , ( 2006),Theoretical aspects of the SOM algorithm, Neurocomputing, 21 (1-3), 119-138. | Zbl
, , (November 1998),SOM-based algorithms for qualitative variables, Neural Networks, 17 (8-9), 1149-1167. | Zbl
, , (October-November 2004),How to use the Kohonen algorithm to simultaneously analyze individuals and modalities in a survey, Neurocomputing, 63, 193-207.
, (January 2005),Classification de données symboliques : une extension de la méthode des nuées dynamiques, in : Actes du IXème congrès de la société Francophone de Classification, pp. 177-180.
(Septembre 2002),Classification et discrimination en analyse de données symboliques. Thèse de doctorat, Université Paris Dauphine, Paris, France.
( 2003),La méthode des nuées dynamiques, Revue statistique appliquée, XIX (2), 19-34. | Numdam
( 1971),Classification automatique avec distances adaptatives, R.A.I.R.O. Informatique Computer Science, 11 (4), 329-349. | MR | Zbl
, ( 1977),Clustering analysis, Fu, K. S. (Eds.), Digital Pattern Recognition. Springer, Heidelberg, 47-94. | Zbl
, ( 1976),Réseaux de neurones - méthodologie et applications; Eyrolles, Paris.
, , , , , , ( 2002)Extraction de données symboliques et cartes topologiques : Application aux données ayant une structure complexe. Thèse de doctorat, Université Paris-IX Dauphine, Paris, France.
( 2004),Self organizing map and symbolic data. Journal of Symbolic Data Analysis, 2(1).
, , (November 2004),Stochastic on-line algorithm versus batch algorithmfor quantization and self-organizing maps, in : Proceedings of Neural Networks for Signal Processing 2001, Falmouth, USA.
, , ( 2001),A non-parametric approach to web log analysis, in : Proc. of Workshop on Web Mining in First International SIAM Conference on Data Mining (SDM2001), Chicago, IL, pp. 41-50.
, , (April 2001),A generalization-based approach to clustering of web usage sessions, in : Masand, Spiliopoulou (Eds.), Web Usage Analysis and User Profiling, Vol. 1836 of Lecture Notes in Artificial Intelligence, Springer, pp. 21-38.
, , ( 2000),Frequent generalized subsequences - a problem from web mining, in : Gaul, W., Opitz, O., Schader, M. (Eds.), Data Analysis, Scientific Modelling and Practical Application, Springer, Heidelberg, pp. 429-445.
, ( 2000),Self-organizing maps : Generalizations and new optimization techniques, eurocomputing, 21, 173-190. | Zbl
, , (November 1998),A stochastic self-organizing map for proximity data, Neural Computation, 11 (1), 139-155.
, ( 1999),A general framework for unsupervised processing of structured data, Neurocomputing, 57, 3-35.
, , , (March 2004),Error potentials for self-organization, in : Proceedings of 1993 IEEE International Conference on Neural Networks (Joint FUZZ-IEEE'93 and ICNN'93 [IJCNN93]). Vol. III. IEEE/INNS, San Francisco, California, pp. 1219-1223.
, ( 1993),Analysis of a complex of statistical variables into principal components, Journal of Educational Psychology, 24, 417-441, 498-520. | JFM
( 1933),Self-Organizing Maps, 3rd Edition, Vol. 30 of Springer Series in Information Sciences, Springer. | Zbl
( 1995, 1997 & 2001),Self-organizing maps of symbol strings. Technical report a42, Laboratory of computer and information science, Helsinki University of technology, Finland. | MR
( 1996),Self-organizing maps of symbol strings, Neurocomputing, 21, 19-30. | MR | Zbl
, ( 1998),How to make large self-organizing maps for nonvectorial data, Neural Networks, 15 (8), 945-952.
, ( 2002),Binary codes capable of correcting deletions, insertions and reversais, Sov. Phys. Dokl, 6, 707-710. | MR | Zbl
( 1966),The common logfile format, http://www.w3.org/pub/WWW/Daemon/User/Config/Logging.html.
( 1995),Some methods for classification and analysis of multivariate observations, in : Proc. of the Fifth Berkeley Symposium on Math., Stat. and Prob.Vol. 1. pp. 281-297. | MR | Zbl
( 1965),Decision rules based on distance for problems of fit, two samples and estimation, Ann. Math. Stat., 3, 1-30. | MR | Zbl
( 1951),On the theory of statistical decision functions, Ann. Math. Stat., 26, 631-640. | MR | Zbl
( 1955),Discovery and evaluation of aggregate usage profiles for web personalization, Data Mining and Knowledge Discovery, 6 (1), 61-82. | MR
, , , (January 2002),, , (December 1999), HTML 4.01 specification, W3C recommendation, W3C, http://www.w3.org/TR/html4/.
Functional Data Analysis, Springer Series in Statistics. Springer Verlag. | MR | Zbl
, (June 1997,Clustering functional data with the som algorithm, in : Proceedings of ESANN 2004. Bruges, Belgium, pp. 305-312.
, , (April 2004),Online algorithm for the self-organizing map of symbol strings, Neural Networks, 17 (1231-1239).
( 2004),Web usage mining : Discovery and applications of usage patterns from web data, SIGKDD Explorations, 1 (2), 12-23.
, , , ( 2000),Le prétraitement des fichiers log web dans le web usage mining multi-sites, in : Journées Francophones de la toile.
, ( 2003),Advanced data preprocessing for intersites web usage mining, IEEE Intelligent Systems, 19 (2), 59-65.
, ( 2004a),Data preprocessing for wum, IEEE Potentials, 23 (3), 22-25.
, ( 2004b),A global geometric framework for nonlinear dimensionality reduction, Science, 290 (5500), 2319-2323.
, , (December 2000),Statistique et méthodes neuronales, Dunod, Paris.
, , , ( 1997),Multidimensional scaling : I. theory and method, Psychometrika, 17, 401-419. | MR | Zbl
( 1952),A dynamical clustering algorithm for multi-nominal data, in :H.A.L. Kiers, J.-P. Rasson, P. G., Schader, M. (Eds.), Data Analysis, Classification, and Related Method, Springer-Verlag, Heidelberg, pp. 387-394. | MR | Zbl
, , ( 2000),W3C HTML WORKING GROUP (August 2002), XHTML 1.0 the Extensible Hyper Text Markup Language, W3C recommendation, W3C, second Edition, http://www.w3.org/TR/xhtml1/.
Evaluating a class of distance-mapping algorithms for data mining and clustering, in : Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining. pp. 307-311.
, , , , , ( 1999),